Post
4920
Spatial sound experience! SonicOrbit features AI beat detection to auto-sync your rhythm.
Bils/SonicOrbit
Bils/SonicOrbit
Bilel Aroua PRO
Bils
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liked
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Bils's activity
reacted to
their
post with 😎🚀
about 2 months ago
posted
an
update
about 2 months ago
Post
4920
Spatial sound experience! SonicOrbit features AI beat detection to auto-sync your rhythm.
Bils/SonicOrbit
Bils/SonicOrbit
reacted to
their
post with 👍🚀
about 2 months ago
reacted to
burtenshaw's
post with 👍
about 2 months ago
Post
5635
I made a real time voice agent with FastRTC, smolagents, and hugging face inference providers. Check it out in this space:
🔗 burtenshaw/coworking_agent
🔗 burtenshaw/coworking_agent
- 9 replies
reacted to
freddyaboulton's
post with 🚀
about 2 months ago
Post
3264
Getting WebRTC and Websockets right in python is very tricky. If you've tried to wrap an LLM in a real-time audio layer then you know what I'm talking about.
That's where FastRTC comes in! It makes WebRTC and Websocket streams super easy with minimal code and overhead.
Check out our org: hf.co/fastrtc
That's where FastRTC comes in! It makes WebRTC and Websocket streams super easy with minimal code and overhead.
Check out our org: hf.co/fastrtc
reacted to
their
post with 🔥
3 months ago
Post
2114
🚀 We're excited to share major improvements to our Janus-Pro-7B Text-to-Image Generation Space!
🎨What's New:
1-Critical Bug Fixes
2-Enhanced Features
3-UI Improvements
4-Performance Boost
Try It Now:
Bils/DeepseekJanusPro-Image
🎨What's New:
1-Critical Bug Fixes
2-Enhanced Features
3-UI Improvements
4-Performance Boost
Try It Now:
Bils/DeepseekJanusPro-Image
reacted to
their
post with ❤️
3 months ago
Post
1881
🚀 Explore the powerful Janus-Pro-7B Text-to-Image Generator! Transform your prompts into stunning visuals with state-of-the-art AI.
Bils/DeepseekJanusPro-Image
Bils/DeepseekJanusPro-Image
-
- 2 replies
reacted to
fdaudens's
post with 🔥
3 months ago
Post
3597
🎯 Kokoro TTS just hit v1.0! 🚀
Small but mighty: 82M parameters, runs locally, speaks multiple languages. The best part? It's Apache 2.0 licensed!
This could unlock so many possibilities ✨
Check it out: hexgrad/Kokoro-82M
Small but mighty: 82M parameters, runs locally, speaks multiple languages. The best part? It's Apache 2.0 licensed!
This could unlock so many possibilities ✨
Check it out: hexgrad/Kokoro-82M
- 1 reply
reacted to
hexgrad's
post with ❤️
3 months ago
Post
8526
hexgrad/Kokoro-82M got an upgrade! ⬆️ More voices, more languages,
GitHub: https://github.com/hexgrad/kokoro
PyPI: https://pypi.org/project/kokoro/
Space: hexgrad/Kokoro-TTS
pip install kokoro, and still 82M parameters.GitHub: https://github.com/hexgrad/kokoro
PyPI: https://pypi.org/project/kokoro/
Space: hexgrad/Kokoro-TTS
- 11 replies
reacted to
their
post with 🚀
3 months ago
Post
2114
🚀 We're excited to share major improvements to our Janus-Pro-7B Text-to-Image Generation Space!
🎨What's New:
1-Critical Bug Fixes
2-Enhanced Features
3-UI Improvements
4-Performance Boost
Try It Now:
Bils/DeepseekJanusPro-Image
🎨What's New:
1-Critical Bug Fixes
2-Enhanced Features
3-UI Improvements
4-Performance Boost
Try It Now:
Bils/DeepseekJanusPro-Image
posted
an
update
3 months ago
Post
2114
🚀 We're excited to share major improvements to our Janus-Pro-7B Text-to-Image Generation Space!
🎨What's New:
1-Critical Bug Fixes
2-Enhanced Features
3-UI Improvements
4-Performance Boost
Try It Now:
Bils/DeepseekJanusPro-Image
🎨What's New:
1-Critical Bug Fixes
2-Enhanced Features
3-UI Improvements
4-Performance Boost
Try It Now:
Bils/DeepseekJanusPro-Image
replied to
their
post
3 months ago
Copy and paste your prompt in our space and view the outcome. https://huggingface.co./spaces/Bils/DeepseekJanusPro-Image
reacted to
their
post with 🔥🚀
3 months ago
Post
1881
🚀 Explore the powerful Janus-Pro-7B Text-to-Image Generator! Transform your prompts into stunning visuals with state-of-the-art AI.
Bils/DeepseekJanusPro-Image
Bils/DeepseekJanusPro-Image
-
-
- 2 replies
posted
an
update
3 months ago
Post
1881
🚀 Explore the powerful Janus-Pro-7B Text-to-Image Generator! Transform your prompts into stunning visuals with state-of-the-art AI.
Bils/DeepseekJanusPro-Image
Bils/DeepseekJanusPro-Image
-
-
- 2 replies
reacted to
multimodalart's
post with ❤️
about 1 year ago
Post
The Stable Diffusion 3 research paper broken down, including some overlooked details! 📝
Model
📏 2 base model variants mentioned: 2B and 8B sizes
📐 New architecture in all abstraction levels:
- 🔽 UNet; ⬆️ Multimodal Diffusion Transformer, bye cross attention 👋
- 🆕 Rectified flows for the diffusion process
- 🧩 Still a Latent Diffusion Model
📄 3 text-encoders: 2 CLIPs, one T5-XXL; plug-and-play: removing the larger one maintains competitiveness
🗃️ Dataset was deduplicated with SSCD which helped with memorization (no more details about the dataset tho)
Variants
🔁 A DPO fine-tuned model showed great improvement in prompt understanding and aesthetics
✏️ An Instruct Edit 2B model was trained, and learned how to do text-replacement
Results
✅ State of the art in automated evals for composition and prompt understanding
✅ Best win rate in human preference evaluation for prompt understanding, aesthetics and typography (missing some details on how many participants and the design of the experiment)
Paper: https://stabilityai-public-packages.s3.us-west-2.amazonaws.com/Stable+Diffusion+3+Paper.pdf
Model
📏 2 base model variants mentioned: 2B and 8B sizes
📐 New architecture in all abstraction levels:
- 🔽 UNet; ⬆️ Multimodal Diffusion Transformer, bye cross attention 👋
- 🆕 Rectified flows for the diffusion process
- 🧩 Still a Latent Diffusion Model
📄 3 text-encoders: 2 CLIPs, one T5-XXL; plug-and-play: removing the larger one maintains competitiveness
🗃️ Dataset was deduplicated with SSCD which helped with memorization (no more details about the dataset tho)
Variants
🔁 A DPO fine-tuned model showed great improvement in prompt understanding and aesthetics
✏️ An Instruct Edit 2B model was trained, and learned how to do text-replacement
Results
✅ State of the art in automated evals for composition and prompt understanding
✅ Best win rate in human preference evaluation for prompt understanding, aesthetics and typography (missing some details on how many participants and the design of the experiment)
Paper: https://stabilityai-public-packages.s3.us-west-2.amazonaws.com/Stable+Diffusion+3+Paper.pdf
- 3 replies
reacted to
MehdiLeZ's
post with ❤️
about 1 year ago
Post
Dear music lovers 🕺,
MusicLang Space is now live: musiclang/README
MusicLang is a controllable model for music generation:
> 🦙 Discover the LLAMA2 architecture, trained from scratch for symbolic music generation, ensuring exceptional quality;
> 👨🎨 Unleash your creativity by extending an existing music, or create new ones from scratch;
> 🤖 Integrate MusicLang into your applications, with an inference optimized for CPUs written in C, other integrations and optimizations coming soon.
In the space, you’ll find :
1️⃣ MusicLang foundation model: our fondation model for creating and generating original midi soundtracks musiclang/musiclang-v2;
2️⃣ MusicLang predict: our AI prediction api of the MusicLang package https://github.com/musiclang/musiclang_predict?tab=readme-ov-file;
3️⃣ MusicLang Language:a new language for tonal music. This language allows composers to load, write, transform and predict symbolic music in a simple, condensed and high level manner https://github.com/MusicLang/musiclang;
4️⃣ MusicLang Demo Space: musiclang/musiclang-predict
5️⃣ Our Colab: https://colab.research.google.com/drive/1MA2mek826c05BjbWk2nRkVv2rW7kIU_S?usp=sharing
Help us share the future of music composition! Spread the word, show your support by adding a star or contribute to our project. ⭐️✨
Music Sounds Definitely Better with You 🎶 🖤
cc @floriangardin @MehdiLeZ @reach-vb
Thanks a lot,
The MusicLang team ❤️
MusicLang Space is now live: musiclang/README
MusicLang is a controllable model for music generation:
> 🦙 Discover the LLAMA2 architecture, trained from scratch for symbolic music generation, ensuring exceptional quality;
> 👨🎨 Unleash your creativity by extending an existing music, or create new ones from scratch;
> 🤖 Integrate MusicLang into your applications, with an inference optimized for CPUs written in C, other integrations and optimizations coming soon.
In the space, you’ll find :
1️⃣ MusicLang foundation model: our fondation model for creating and generating original midi soundtracks musiclang/musiclang-v2;
2️⃣ MusicLang predict: our AI prediction api of the MusicLang package https://github.com/musiclang/musiclang_predict?tab=readme-ov-file;
3️⃣ MusicLang Language:a new language for tonal music. This language allows composers to load, write, transform and predict symbolic music in a simple, condensed and high level manner https://github.com/MusicLang/musiclang;
4️⃣ MusicLang Demo Space: musiclang/musiclang-predict
5️⃣ Our Colab: https://colab.research.google.com/drive/1MA2mek826c05BjbWk2nRkVv2rW7kIU_S?usp=sharing
Help us share the future of music composition! Spread the word, show your support by adding a star or contribute to our project. ⭐️✨
Music Sounds Definitely Better with You 🎶 🖤
cc @floriangardin @MehdiLeZ @reach-vb
Thanks a lot,
The MusicLang team ❤️
- 8 replies